second-state/Megrez-3B-Instruct-GGUF

<!-- header start --> <!-- 200823 --> <div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> <!-- header end -->

Megrez-3B-Instruct-GGUF

Original Model

Infinigence/Megrez-3B-Instruct

Run with LlamaEdge

• —LlamaEdge version: v0.16.0

• —Prompt template

• —Prompt type: megrez

• —Prompt string

    <|role_start|>system<|role_end|>{system_message}<|turn_end|><|role_start|>user<|role_end|>{user_message}<|turn_end|><|role_start|>assistant<|role_end|>

• —Context size: 32000

• —Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Megrez-3B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Megrez-3B-Instruct \
    --prompt-template megrez \
    --ctx-size 32000

[!TIP] For use cases of conversations or article writing, temperature=0.7 is strongly recommended. For use cases of mathematics or logical reasoning, temperature=0.2 is strongly recommended.

• —Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Megrez-3B-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template megrez \
    --ctx-size 32000

[!TIP] For use cases of conversations or article writing, temperature=0.7 is strongly recommended. For use cases of mathematics or logical reasoning, temperature=0.2 is strongly recommended.

Quantized GGUF Models

Quantized with llama.cpp b4381